Trishan Panch

Artificial intelligence, machine learning and health systems

2018 · 613 Zit. · Journal of Global Health

Artificial intelligence and algorithmic bias: implications for health systems

2019 · 480 Zit. · Journal of Global Health

The “inconvenient truth” about AI in healthcare

2019 · 458 Zit. · npj Digital Medicine

Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol

2021 · 284 Zit. · BMJ Open

Developing specific reporting guidelines for diagnostic accuracy studies assessing AI interventions: The STARD-AI Steering Group

2020 · 246 Zit. · Nature Medicine

The STARD-AI reporting guideline for diagnostic accuracy studies using artificial intelligence

2025 · 46 Zit. · Nature Medicine

The role of artificial intelligence in orthopaedic surgery

2018 · 43 Zit. · British Journal of Hospital Medicine

A distributed approach to the regulation of clinical AI

2022 · 36 Zit. · PLOS Digital Health

“Yes, but will it work for my patients?” Driving clinically relevant research with benchmark datasets

2020 · 19 Zit. · npj Digital Medicine

Turning the crank for machine learning: ease, at what expense?

2019 · 17 Zit. · The Lancet Digital Health

The "inconvenient truth" about AI in healthcare

2019 · 12 Zit. · Nature

Machine learning health-related applications in low-income and middle-income countries: a scoping review protocol

2020 · 10 Zit. · BMJ Open

Reimagining patient-reported outcomes in the age of generative AI

2025 · 1 Zit. · npj Digital Medicine

High-tech works when it enables high-touch: AI & the opportunity for health plans

2019 · 0 Zit.